Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.
A three-part ‘multiparametric’ MRI of the prostate is standard of care in the UK for patients suspected of having prostate cancer. Now, a study shows two-part scans are sufficient for diagnosis.
How often should men get checked for their level of PSA, a marker for prostate cancer? A German study involving over 12,500 men shows that a five-year interval between tests is safe.
A clinical trial has revealed the effectiveness of '3D mammography' in reducing by almost half the incidence of interval breast cancer appearing between two rounds of screening.
Ordering preoperative breast MRI exams of diagnosed breast cancer patients used to be controversial: Did they aid surgical planning better than the combination of mammography and breast ultrasound? Or did their findings cause overtreatment, specifically mastectomy, when breast-conservation surgery would have sufficed? New research has now settled the issue.
Breast MRI is increasingly being used as a primary breast cancer screening exam for young women. It brings benefits in women with dense breasts, who are at an elevated risk of developing breast cancer. The technique is also being ordered as a supplemental screening exam following mammography or breast ultrasound for women of all ages at high risk. But use of breast MRI as a screening tool is…
A newly-developed biosensor could be an alterative to MRI and mammography for breast cancer screening. The handheld device uses saliva on test strips to determine whether cancer is present.
A new breast imaging technique provides high sensitivity for detecting cancer while significantly reducing the likelihood of false positive results, according to a new study.
Digital pathology brings benefits for sample management and optimisation, lets pathologists work on samples remotely: The UK Government has now approved the use of the technique for cancer samples.
A research team from Denmark has developed an innovative screening test. With a blood sample from the expectant mother, they can scrutinize all the genes in the fetus.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
Incidence of lung cancer among people who never smoked is rising. A new AI tool opens the door for opportunistic screening for this group, using existing chest X-rays in the electronic medical record.
Diagnosing early-stage lung cancer with low-dose CT screening dramatically improves the long-term survival rate of cancer patients, a large-scale, 20-year international study shows.
Mammography screening is vital in breast cancer prevention, but about 3% of women receive a false-positive result. This not only causes worry, but also increases risk of developing breast cancer.
A team at the University of Bristol has developed a robot manipulator that could carry out clinical breast examinations. The developers hope the device will revolutionise breast health monitoring.
Two out of the four screening tools used by emergency medical services are inadequate for recognising sepsis, according to new research presented at the EUSEM Congress.
Basque researchers propose a bioelectronic device consisting of gold electrodes coated with a smart polymer capable of capturing and releasing cells in a non-invasive, controllable way.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
A new safety analysis finds AI-supported mammography analysis is as good as two breast radiologists working together to detect breast cancer, almost halving the screen-reading workload.
